Data Warehouse vs Data Lakehouse - Architecting the Modern Stack
A comprehensive guide comparing Data Warehouse and Data Lakehouse architectures, exploring their core differences, feature capabilities, and when to choose each approach for your modern data stack.
Data Lake vs. Data Lakehouse – Architecting the Modern Stack
Discover how Data Lakehouses revolutionize data architecture by bringing ACID transactions, schema enforcement, and governance to cloud object storage, eliminating the need for complex dual-tier systems.
Parquet vs. Iceberg: From File Format to Data Lakehouse King
Understand how Apache Parquet and Apache Iceberg complement each other — the foundation and blueprint for building reliable, scalable data lakehouses.
Apache Iceberg Metadata Explained: Snapshots & Manifests
Dive into Apache Iceberg metadata: snapshots, manifests, catalogs. Learn how Iceberg's layered metadata drives performance, reliability, and ACID guarantees.
Apache Iceberg vs Hive: Data Lakehouse Comparison Guide
Compare Apache Hive and Iceberg architectures, features, and use cases. Learn about schema evolution, transactions, performance, and modern lakehouse design.